Abstract: The present disclosure relates to guided solution for collecting basic information from a user to automatically create complex surveys and customer management tools. For example, in one or more embodiments, the disclosed systems provide a series of guided prompts to a user. The disclosed systems receive user answers to the prompts that include data regarding focus subject data (e.g., product information) and desired performance indicators (e.g., Key Performance Indicators). Based on the user responses, the disclosed systems automatically build fully templatized surveys. Additionally, the disclosed systems also build additional resources including dashboards for managing and reporting survey results and actions.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for detecting and validating anomalies from an ongoing data collection by applying an algorithm corresponding to a data pattern of the ongoing data collection. In particular, in one or more embodiments, the disclosed systems utilize a time series classification model to identify a data pattern corresponding to the ongoing data collection. Further, the disclosed systems can utilize an algorithm corresponding to the data pattern to monitor the ongoing data collection for anomaly candidates. Additionally, in one or more embodiments, the disclosed systems pass anomaly candidates through an anomaly validation filter to remove false positives.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for segmenting unstructured text into salient portions and identifying sentiments expressed in each segment. In particular, the disclosed systems utilize a segmentation machine learning model to segment unstructured text into salient portions and a sentiment identifying machine learning model to identify sentiments for each segment. Additionally, the disclosed systems determine a topic for each segment and associate it with an emotion label, a sentiment label or a predicted action label. In one or more embodiments, based on the topic associated with the emotional label, sentiment label or predicted action label, the disclosed systems determine and perform additional actions.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for determining an existence of a perception gap for an interaction event. In particular, in one or more embodiments, the disclosed systems generate a suggested action and provide the suggested action for display via a graphical user interface of an agent device. In some embodiments, the disclosed systems utilize a machine learning model to generate the suggested action for the agent. Furthermore, in one or more embodiments, the disclosed systems generate an agent performance score reflecting an overall performance of an agent. In some embodiments, the disclosed systems utilize a machine learning model to generate the agent performance score.

Abstract: The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for determining (and performing) system actions for particular users in response to real-time events based on the real-time event, an attribute of a user profile, and a journey state of the particular user on an experience journey. More specifically, in one or more embodiments, the disclosed systems respond in real-time utilizing both real-time data and batch data from a variety of disparate computing systems. To illustrate, in some embodiments, the disclosed systems detect a real-time event and identify an attribute of a user profile corresponding to the real-time event. In proximity to detecting the real-time event, the disclosed systems identify a journey state for the user profile along an experience journey. Based on the real-time event, the attribute of the user profile, and the journey state, the disclosed systems can dynamically determine system action.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems generate a knowledge graph to implement, process, and analyze digital surveys and digital survey data cross computer networks. In particular, the disclosed systems can generate and utilize a knowledge graph to determine and coordinate topic ontologies, store and access digital survey data, and generate digital benchmarks. For example, the disclosed systems generate a knowledge graph based on a predefined ontology of topics by connecting topic nodes via a plurality of edges. Additionally, the disclosed systems receive survey data associated with administering an electronic survey to respondent client devices. The disclosed systems extract topics from the survey data and determine connections between the survey data and the topic nodes in the knowledge graph. In one or more embodiments, the disclosed systems generate digital benchmarks between sets of data based on the relationships.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for applying attribute definitions to various survey data and utilizing attribute definitions to generate survey analyses. In particular, in one or more embodiments, the disclosed systems intelligently determines attribute definitions to apply to digital surveys, digital survey questions, and digital survey responses. The disclosed systems can determine attribute definitions to apply to survey data based on user input, associated survey templates, associated prior use of attribute definition, analysis of the text of digital surveys, and a variety of other attributes of survey data. The disclosed systems can generate digital survey analysis by utilizing attribute definitions applied to a variety of types of survey data.

Abstract: The present disclosure is directed toward systems and methods generating a survey response based on an analysis of a communication provided by a user. The systems and methods may include receiving a data package sent in response to detecting a trigger event performed by a user, analyzing the data package to determine a user identification for the user, a user input, or an event type, and based on the analysis of the data package, identifying a first survey inquiry within a first electronic survey. Furthermore, the systems and methods may include formatting the first survey inquiry in an instant messenger format, providing, via an instant messenger platform, the formatted first survey inquiry to an instant messenger communication thread associated with the user, receiving an instant message response, and based on the instant message response, generating a survey response to the first survey inquiry.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a digital permission mapping model to dynamically map entity members to digital survey resource permission roles based on metadata corresponding to the entity members. In particular, in one or more embodiments, the disclosed systems implement permissions based on identification of various resource classes and attribute values corresponding to the digital resources. The disclosed systems can compare survey resource classes, survey attribute categories, and attribute values of requested digital survey resources to the resource permission role of a requesting entity member. The disclosed systems can manage the digital content based on the digital survey resource permission role and these determined comparisons.

Abstract: The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.

Abstract: Embodiments of the present disclosure relate generally to distributing a survey created for a first distribution channel across multiple distribution channels. More specifically, one or more embodiments of the present disclosure relate to providing a user with the ability to create a survey for one distribution channel and automatically provide the survey across multiple distribution channels. Further, one or more embodiments of the present disclosure improves survey administration by collecting responses to the survey from across the various distribution channels, compiling the responses, and providing the overall results of the survey to the user.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that relay domain-event objects within an enhanced multi-platform data stream to listen for and react to digital events indicated by the domain-event objects that occur across a wide variety of computing platforms. Specifically, the disclosed systems can receive domain-event objects within the multi-platform data stream. From among the domain-even objects transmitted through the multi-platform data stream, the disclosed systems can identify a domain-event object that is relevant to a digital-analytics platform by identifying domain-event objects that include properties satisfying domain-event-listener rules. Based on an entity identifier and an object event from the relevant domain-event object, the disclosed systems can perform a platform action within the digital-analytics platform (e.g., to react to a change in another platform as indicated by the domain-event object).

Abstract: This disclosure covers systems and methods that administer a digital survey to respondents who interact with a biometric sensor to collect and convert biometric data into behavioral and physical characteristics of the respondents. In certain embodiments, by converting biometric data into respondent characteristics, the disclosed systems and methods identify various unwritten or nonverbal responses of survey respondents who respond to a digital survey or who interact with a display medium that captures survey data. To facilitate review of respondents' characteristics and responses, in some embodiments, the disclosed systems and methods further categorize the converted respondent characteristics within a response database for the digital survey.

Abstract: This disclosure covers systems and methods that retrieve and transform a requested dataset into a data shape that a widget specifies for visualization. In certain embodiments, the disclosed systems and methods respond to data requests for widgets by retrieving datasets formatted according to different data models for different platforms. The systems and methods then transform the datasets into a data shape specified by the widgets. By transforming requested datasets to conform to data shapes specified by widgets, the disclosed systems and methods orchestrate the update of a widget (or multiple instances of a widget) with data that originally conformed to different data models and, in some cases, was formatted for different software applications.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a predicted response to a digital survey question and identifying digital survey questions to remove from a digital survey. For example, the disclosed systems can reduce the number of digital survey questions distributed as part of a digital survey by identifying and removing similar digital survey questions. In addition, the disclosed systems can generate a predicted response to an unprovided digital survey question based on determining relationships between respondents. Further, based on respondent relationships, the disclosed systems can identify digital survey questions that a respondent is likely to answer and can provide the digital survey questions to a respondent device of the respondent.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that provide a graphical user interface for intuitively generating digital action sequences across one or more digital platforms. For example, the disclosed systems generate graphical user interfaces with tools to construct digital action sequences of platform actions performed based on event triggers. To facilitate building such digital action sequences, in some cases, the disclosed systems provide data for digital-action-sequence templates for easy selection of pre-matched event triggers and platform actions or tools to mix-and-match combinations of specific event triggers and platform actions. By providing such intuitive tools in a centralized graphical user interface, the disclosed systems can connect events across multiple platforms or across disconnected components of a single platform.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that use machine-learning techniques to facilitate the creation, timing of distribution, or follow-up actions for digital surveys. In one such implementation, the disclosed methods, non-transitory computer readable media, and systems use a survey-creation-machine learner to generate suggested survey questions for an administrator designing a digital survey. Additionally, in some implementations, the disclosed methods, non-transitory computer readable media, and systems use specialized machine learners to suggest timeframes in which to send digital surveys or to suggest action items to follow up on responses to the survey questions.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for maintaining the anonymity of survey respondents while providing useful data to an analyst. In particular, in one or more embodiments, the disclosed systems utilize various anonymity protections based on various anonymity thresholds. For example, the presently disclosed systems and methods may disallow or modify potentially identifying data filters, including generating alternate data groupings. Further, the systems and methods may modify text responses to reduce identification risk.

Abstract: Embodiments of the present disclosure relate to customizing an electronic survey using social networking information. One or more embodiments of a survey system receive social networking information associated with a respondent from a third-party social networking system in connection with a request to provide a survey to a client device of the respondent. One or more embodiments of the survey system use the social networking information to determine a plurality of survey questions for the electronic survey. Additionally, one or more embodiments of the survey generate a customized electronic survey to include the plurality of survey questions and then provide the customized survey to the respondent's client device.